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| rdf:type
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| Description
| - The optimization of the technological processes control is usually connected with mathematical models usage. Most of technical instruments for control on the level of own technology is not customized for the hard mathematical operations solving and in addition the computation with quality precisely models of the dynamic systems is very time consuming and together with the real time optimization is not really solvable. On the other hand the mathematical description of artificial neural networks (ANN) is very simple and the algorithms of the learned ANN are easily implemented into existing technological processes control means. For successful using of the models on the base of ANN, the ANN needs to be rationally learned on the data which occupy all eventual variants which could occur in the real process including malfunction and crash states. But such a data is not practically possible to get from real technological process. There is possibility of off-line ANN learning with using data given by simulations based on the high precision mathematical models and by this way to get the hybrid model. By the useful organization it is secured, that ANN will also react correctly to such situations which are highly exceptional in real control conditions. The goal of this paper is to present the philosophy and the possibilities of this hybrid models usage on several practical processes.
- The optimization of the technological processes control is usually connected with mathematical models usage. Most of technical instruments for control on the level of own technology is not customized for the hard mathematical operations solving and in addition the computation with quality precisely models of the dynamic systems is very time consuming and together with the real time optimization is not really solvable. On the other hand the mathematical description of artificial neural networks (ANN) is very simple and the algorithms of the learned ANN are easily implemented into existing technological processes control means. For successful using of the models on the base of ANN, the ANN needs to be rationally learned on the data which occupy all eventual variants which could occur in the real process including malfunction and crash states. But such a data is not practically possible to get from real technological process. There is possibility of off-line ANN learning with using data given by simulations based on the high precision mathematical models and by this way to get the hybrid model. By the useful organization it is secured, that ANN will also react correctly to such situations which are highly exceptional in real control conditions. The goal of this paper is to present the philosophy and the possibilities of this hybrid models usage on several practical processes. (en)
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| Title
| - SIMULATION OF TECHNOLOGICAL PROCESSES USING HYBRID TECHNIQUE EXPLORING MATHEMATICAL-PHYSICAL MODELS AND ARTIFICIAL NEURAL NETWORKS
- SIMULATION OF TECHNOLOGICAL PROCESSES USING HYBRID TECHNIQUE EXPLORING MATHEMATICAL-PHYSICAL MODELS AND ARTIFICIAL NEURAL NETWORKS (en)
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| skos:prefLabel
| - SIMULATION OF TECHNOLOGICAL PROCESSES USING HYBRID TECHNIQUE EXPLORING MATHEMATICAL-PHYSICAL MODELS AND ARTIFICIAL NEURAL NETWORKS
- SIMULATION OF TECHNOLOGICAL PROCESSES USING HYBRID TECHNIQUE EXPLORING MATHEMATICAL-PHYSICAL MODELS AND ARTIFICIAL NEURAL NETWORKS (en)
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| skos:notation
| - RIV/61989100:27360/11:86081266!RIV12-GA0-27360___
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| http://linked.open...avai/predkladatel
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
| |
| http://linked.open...iv/duvernostUdaju
| |
| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/61989100:27360/11:86081266
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - Optimization, control, artificial neural networks, hybrid models (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...v/mistoKonaniAkce
| |
| http://linked.open...i/riv/mistoVydani
| |
| http://linked.open...i/riv/nazevZdroje
| - 20th Anniversary International Conference on Metallurgy and Materials: METAL 2011
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| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...vavai/riv/projekt
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| - Špička, Ivo
- Heger, Milan
- Bogar, Martin
- Franz, Jiří
- Stráňavová, Mária
|
| http://linked.open...vavai/riv/typAkce
| |
| http://linked.open.../riv/zahajeniAkce
| |
| number of pages
| |
| http://purl.org/ne...btex#hasPublisher
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| https://schema.org/isbn
| |
| http://localhost/t...ganizacniJednotka
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| is http://linked.open...avai/riv/vysledek
of | |
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